CN106844531A - A kind of flood control command based on grid studies and judges system - Google Patents
A kind of flood control command based on grid studies and judges system Download PDFInfo
- Publication number
- CN106844531A CN106844531A CN201611249571.4A CN201611249571A CN106844531A CN 106844531 A CN106844531 A CN 106844531A CN 201611249571 A CN201611249571 A CN 201611249571A CN 106844531 A CN106844531 A CN 106844531A
- Authority
- CN
- China
- Prior art keywords
- grid
- data
- history
- flood control
- watermark protocol
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012544 monitoring process Methods 0.000 claims abstract description 21
- 238000001556 precipitation Methods 0.000 claims abstract description 10
- 230000000007 visual effect Effects 0.000 claims abstract description 10
- 230000005540 biological transmission Effects 0.000 claims abstract description 5
- 238000004891 communication Methods 0.000 claims description 16
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 16
- 238000000034 method Methods 0.000 claims description 9
- 230000008859 change Effects 0.000 claims description 7
- 239000000463 material Substances 0.000 claims description 6
- 238000005516 engineering process Methods 0.000 description 6
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000012800 visualization Methods 0.000 description 2
- TVZRAEYQIKYCPH-UHFFFAOYSA-N 3-(trimethylsilyl)propane-1-sulfonic acid Chemical compound C[Si](C)(C)CCCS(O)(=O)=O TVZRAEYQIKYCPH-UHFFFAOYSA-N 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 229910052500 inorganic mineral Inorganic materials 0.000 description 1
- 230000002045 lasting effect Effects 0.000 description 1
- 239000011707 mineral Substances 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 230000000116 mitigating effect Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
- G06Q50/265—Personal security, identity or safety
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A10/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
- Y02A10/40—Controlling or monitoring, e.g. of flood or hurricane; Forecasting, e.g. risk assessment or mapping
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Development Economics (AREA)
- Economics (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Educational Administration (AREA)
- Remote Sensing (AREA)
- Health & Medical Sciences (AREA)
- Computer Security & Cryptography (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Alarm Systems (AREA)
Abstract
System is studied and judged the present invention relates to a kind of flood control command based on grid, mesh generation is carried out to area under one's jurisdiction first, in units of grid, more than one watermark protocol information monitoring station is respectively provided with each grid;Watermark protocol information monitoring station in each grid is by current watermark protocol real-time data transmission to system;The watermark protocol data of correspondence grid, input are predicted analysis, obtain the following precipitation predicting data of each grid to hydrologic forecast model;Studying and judging system by flood control command carries out similarity analysis, obtains and current watermark protocol data similarity highest history watermark protocol data in corresponding grid;Study and judge system by flood control command carries out visual presentation by the current watermark protocol data of each grid similar highest history watermark protocol data corresponding with current watermark protocol data, following precipitation predicting data, socioeconomic data and basic unit's flood control system data in GIS map.Area under one's jurisdiction is divided by gridding, multiple grids is formed so that flood control early warning more preferably visual pattern.
Description
Technical field
A kind of flood control command based on grid of the present invention studies and judges system.
Background technology
Measures against flood disaster mainly includes engineering measure and non-engineering measure.Engineering measure is due to aobvious in flood control and disaster reduction
Benefit is write, is unanimously favored by people, each state all spares no effort to build the flood control works such as dyke, reservoir, improve flood control mark
It is accurate.But it is on the one hand huge flood control works fund input, is on the other hand but that the big flood occurrence frequency for being difficult to contain increases, flood
Disaster loss loses the lasting trend for rising.Non-engineering flood control be exactly by flood forecasting, Flood Control Dispatch, flood diversion, flood detention, legislation,
The non-engineering measures such as flood insurance, floodplain management reduce disaster or mitigate the loss that disaster may be brought.Flood control command decision-making
Support system is the integrated system of various non-engineering flood controls, and it is with computer technology, network communications technology and remote sensing technology
Deng based on, by the automatic data collection to various flood control information, real-time Transmission, comprehensive analysis and Intelligent treatment, in time, correctly
Implement emergency flood fighting disaster relief command scheduling.For effectively mitigating Flood Damage, assure the safety for life and property of the people, have
Important meaning.
Overwhelming majority flood control command decision system is based on GIS platform constructions at present, real with WEBGIS as integrated framework
The functions such as existing flood control related display, inquiry, editor, thematic charting, the map publishing of spatial data.GIS platforms include two dimension
GIS platforms and three-dimension GIS platform.
Two-dimension GIS platform possesses general GIS functions, based on geography information, by hydraulic engineering information management
Related service is combined with GIS technologies, realizes management and displaying to space and attribute data.Specific requirement includes:Support
Shape files data forms, while supporting grating image form, such as BMP, GIF, PNG, JPEG;Map can be entered
The operations such as row amplifies, reduces, roaming, selection;Figure layer control can be carried out and dynamic layer is realized, thematic maps can be generated;
Corresponding click can be carried out to map to inquire about, draw the operations such as frame inquiry, arbitrary polygon inquiry;Map can be looked into by object
Ask, realize the positioning and flashing function of object, while the spatial measuring functions such as range finding can be realized.It is geographical in three-dimension GIS platform
Information realistic looking representation in the way of three-dimensional, and hydraulic engineering information management related service is combined with three-dimensional data,
The management and displaying to space and attribute data are realized, the depth and range of Information application is improved.
Current flood control command DSS major function mainly includes duty management, flood situation letter under daily state
Under report, information on duty, fax managing, short message managing and emergency rating(During typhoon, heavy rain)The flood control being the theme with disaster
Consultation, windproof consultation, anti-consultation.In case as a example by platform consultation major function be included in GIS map be superimposed the real-time rain condition of displaying,
Real Time Hydrologic, real-time landscape, typhoon track, real-time work feelings, video information, emergency team 5, flood fighting materials, keep away calamity place;Check
Real-time statistical report, check reception fax, carry out short message sending;Consultation management can be carried out, consultation material is automatically generated;Can
Urban waterlogging situation is understood in real time, checks city inland river water level, urban water conservancy project work feelings information.
Current technology is primarily present following shortcoming:
(1)Based on GIS platform flood control command decision system in emergency rating commanding and decision-making, can only often be paid close attention to administrative region
The details in overall distribution information or point on big face, but Disaster Event during disaster is frequently experienced in necessarily
Regional extent, therefore the flood control command decision system based on GIS platform can not targetedly be analyzed, commanded and be ground
Sentence.
(2)Due to information and the upper information of point on integral face can only be presented based on GIS flood control commands decision system, thus fail to
Carry out the Analysis of Networking of associated point, cell turned to grid, can carry out relevant information in cell association, contrast and
Present.
(3)Consultation during hazard weather is, it is necessary to grasp history, present and following information, overwhelming majority system is equal at present
The dynamic grasp of real time information can be realized, the rainfall and flood forecasting for future often exist due to the limitation of objective condition
Certain deviation, and historical information as determination information often for disaster during study and judge with vital effect, at present
Existed system is often simply simply enumerated to historical summary, and failing intelligence carries out similarity analysis, is that user is presented phase
Seemingly spend the historical flood data with reference significance high.
The content of the invention
The purpose of the present invention is directed to above weak point, there is provided a kind of flood control command based on grid studies and judges system,
Divided by gridding, flood control more visual pattern.
The present invention solves the scheme that is used of technical problem:A kind of flood control command based on grid studies and judges system, including
Following steps:
Step S1:Mesh generation is carried out to area under one's jurisdiction, more than one grid is formed, in units of grid, divided in each grid
More than one watermark protocol information monitoring station is not set, for current watermark protocol data in Real-time Collection correspondence grid;Each net
Watermark protocol information monitoring station in lattice is studied and judged the data center of system by current watermark protocol real-time data transmission to flood control command;
Step S2:In units of grid, by flood control command study and judge system by the current watermark protocol data of each grid with it is corresponding
The history watermark protocol data of grid are associated, and by the history watermark protocol data in each grid and corresponding history watermark protocol
The associated history scheduling data of data, the disaster-stricken data of history and history transferring route set up respectively history watermark protocol database,
The disaster-stricken database of history dispatching database, history and history transferring route database;
Step S3:In units of grid, studying and judging system by flood control command carries out similarity analysis, obtains and works as with corresponding grid
Preceding watermark protocol data similarity highest history watermark protocol data, while obtain history corresponding with the history watermark protocol data adjusting
The disaster-stricken data of degrees of data, history and history transferring route;
Step S4:In units of grid, flood control command studies and judges the watermark protocol number that the data center of system will gather in correspondence grid
According to input is predicted analysis to hydrologic forecast model, obtains the following precipitation predicting data in each grid;
Step S5:In units of grid, the socioeconomic data and basic unit's flood control system data in each grid are obtained;
Step S6:In units of grid, system is studied and judged by the current watermark protocol data in each grid by flood control command and is worked as
The corresponding similar highest history watermark protocol data of preceding watermark protocol data, following precipitation predicting data, socioeconomic data and
Basic unit's flood control system data carry out visual presentation in GIS map.
Further, in step sl, the mesh generation is respectively with reservoir and reservoir catchments enclosing region, small watershed
Or Xu Qu is divided;If mesh generation is carried out with reservoir and reservoir catchments enclosing region, in the devastated for selecting
All reservoirs, are a cell with reservoir and reservoir catchments enclosing region centered on each reservoir, form more than one
Grid, and digital numbering is carried out successively to each grid;
If carrying out mesh generation with small watershed, according to SL 653-2013《Small watershed is divided and coding criterion》Carry out small watershed
Division, form more than one grid, and each grid is numbered successively;
Ruo Yixu areas carry out mesh generation, then local existing Xu Qu is carried out into mesh generation, are divided into more than one net
Lattice, and each grid is numbered successively.
Further, in step s 5, described socioeconomic data include the size of population and distribution, population structure and
Operating mode number of the enterprise distributed intelligence;Basic unit's flood control system data include person liable, person liable's contact method, flood fighting materials,
Keep away calamity place, transferring route, the information of emergency team 5.
Further, in step s 6, presented and the similar highest history watermark protocol data simultaneously in GIS map
Associated history dispatches data, the disaster-stricken data of history and history transferring route.
Further, in step s3, flood control command study and judge system by the current watermark protocol data of each grid with it is corresponding
The history watermark protocol database of grid is associated, and similarity is carried out by two factors of the absolute value to watermark protocol and rate of change
Calculate and analyze, obtain and current watermark protocol data similarity highest history watermark protocol data in corresponding grid.
Further, each watermark protocol information monitoring station includes a control unit and the water level being electrically connected with described control unit
Acquisition module, rain collection module, image capture module, communication module and warning module, by water level acquisition module and rainfall
Acquisition module gathers the water level information and rainfall change information of grid respectively, obtains the water in correspondence grid and rises information;Pass through
Image capture module realizes the image information in real-time monitoring correspondence grid, and image information is transmitted to flood control by communication module
Commander studies and judges the data center of system.
Further, described control unit is single-chip microcomputer, and the rain collection module is tipping bucket rain gauge, described
Communication module is GPRS communication module, and the warning module is audible-visual annunciator.
Further, the flood control command study and judge system data center it is every by the GPRS communication module auto-associating
Watermark protocol information monitoring station in individual grid.
Compared with prior art, the present invention has following beneficial effect:The present invention carries out grid according to the characteristics of preventing and reducing natural disasters
Division, and by similar history watermark protocol data, current watermark protocol data and following precipitation predicting number in units of grid
According to while carrying out visual presentation so that flood control is studied and judged more has specific aim, and easier visualization, during auxiliary hazard weather
User can carry out early warning, commander and decision-making.The system of studying and judging that the present invention is provided can also be by basic unit's flood control system data with net
Lattice carry out visual presentation for unit, and such as flood fighting materials, emergency team 5, transferring route are intuitively shown;Same society
Economic data is digitized, and can show the size of population in grid, age composition, industrial and mineral situation, auxiliary in units of grid
Policymaker carries out personal scheduling and rescue according to actual socioeconomic data.
Brief description of the drawings
Patent of the present invention is further illustrated below in conjunction with the accompanying drawings.
Fig. 1 is the block diagram for studying and judging system of the embodiment of the present invention.
Fig. 2 studies and judges the schematic diagram that system shows in GIS map for the embodiment of the present invention.
Fig. 3 is the framework of the socioeconomic data of the embodiment of the present invention.
Specific embodiment
The present invention is further described with reference to the accompanying drawings and detailed description.
As Figure 1-3, a kind of flood control command based on grid of the present embodiment studies and judges system, comprises the following steps:
Step S1:Mesh generation is carried out to area under one's jurisdiction, more than one grid is formed, in units of grid, divided in each grid
More than one watermark protocol information monitoring station is not set, for current watermark protocol data in Real-time Collection correspondence grid;Each net
Watermark protocol information monitoring station in lattice is studied and judged the data center of system by current watermark protocol real-time data transmission to flood control command;
Step S2:In units of grid, by flood control command study and judge system by the current watermark protocol data of each grid with it is corresponding
The history watermark protocol data of grid are associated, and by the history watermark protocol data in each grid and corresponding history watermark protocol
The associated history scheduling data of data, the disaster-stricken data of history and history transferring route set up respectively history watermark protocol database,
The disaster-stricken database of history dispatching database, history and history transferring route database;
Step S3:In units of grid, studying and judging system by flood control command carries out similarity analysis, obtains and works as with corresponding grid
Preceding watermark protocol data similarity highest history watermark protocol data, while obtain history corresponding with the history watermark protocol data adjusting
The disaster-stricken data of degrees of data, history and history transferring route;
Step S4:In units of grid, flood control command studies and judges the watermark protocol number that the data center of system will gather in correspondence grid
According to input is predicted analysis to hydrologic forecast model, obtains the following precipitation predicting data in each grid;
Step S5:In units of grid, the socioeconomic data and basic unit's flood control system data in each grid are obtained;
Step S6:In units of grid, system is studied and judged by the current watermark protocol data in each grid by flood control command and is worked as
The corresponding similar highest history watermark protocol data of preceding watermark protocol data, following precipitation predicting data, socioeconomic data and
Basic unit's flood control system data carry out visual presentation in GIS map.
From the foregoing, the beneficial effects of the present invention are:The present invention is respectively according to reservoir catchments, small watershed, big stream
The classifications such as domain, Xu Qu carry out mesh generation, and flood control analysis is carried out in units of grid, and then GIS map carries out visual presentation,
Realize that offer reference is studied and judged in flood control.In GIS map, can in the form of nine grids by similar history watermark protocol data, when
On same interface, upper three lattice displaying similarity highest history watermark protocol is believed for preceding hydrographic data and Forecasting Flood data display
Breath, history dispatch situation, history disaster-stricken situation, in three lattice show real-time rain condition information/Hydrologic Information, Real-Time Scheduling situation, should
Anxious response condition, lower three lattice displaying prediction rainfall information, prediction reservoir Hydrologic Information, prediction river course Hydrologic Information etc..
In the present embodiment, in step sl, the mesh generation is respectively with reservoir and reservoir catchments enclosing region, small
Basin or Xu Qu are divided;If carrying out mesh generation with reservoir and reservoir catchments enclosing region, the devastated for selecting
Interior all reservoirs, are a cell with reservoir and reservoir catchments enclosing region centered on each reservoir, form one
Grid above, and digital numbering is carried out successively to each grid;If carrying out mesh generation with small watershed, according to SL 653-
2013《Small watershed is divided and coding criterion》Carry out the division of small watershed, form more than one grid, and to each grid according to
It is secondary to be numbered;Ruo Yixu areas carry out mesh generation, then local existing Xu Qu is carried out into mesh generation, be divided into one with
On grid, and each grid is numbered successively.
In the present embodiment, in step s 5, described socioeconomic data includes the size of population and distribution, population structure
And operating mode number of the enterprise distributed intelligence;Basic unit's flood control system data include person liable, person liable's contact method, flood control thing
Provide, keep away calamity place, transferring route, the information of emergency team 5.The framework of socioeconomic data is illustrated in figure 3, such as table 1 below is basic unit
Flood control system data framework.
The basic unit's flood control system data framework of table 1
The basic unit's flood control system data framework of table 1(Continuous 1)
The basic unit's flood control system data framework of table 1(Continuous 2)
In the present embodiment, in step s 6, presented and the similar highest history watermark protocol data simultaneously in GIS map
Associated history dispatches data, the disaster-stricken data of history and history transferring route.
Further, in step s3, flood control command study and judge system by the current watermark protocol data of each grid with it is corresponding
The history watermark protocol database of grid is associated, and similarity is carried out by two factors of the absolute value to watermark protocol and rate of change
Calculate and analyze, obtain and current watermark protocol data similarity highest history watermark protocol data in corresponding grid.In step S3
In, flood control command studies and judges system and carries out similarity analysis by the following method:It is small that system calculates current watermark protocol data a automatically
The absolute value of the water level in Shi Shuiwei and history watermark protocol data during b, a+1 hours with b+1 hours water level in history
Absolute value ..., the a+n hours absolute value with b+n hours in history, while being gone through to the slope during a+n when calculating current a
To the slope during b+n during b in history, the rate of change of slope, carries out similarity-rough set when finally during calculating a to a+1 with b to b+1, obtains
To similarity highest history watermark protocol data, and going through of obtaining being associated with the similarity highest history watermark protocol data
History scheduling data, the disaster-stricken data of history and history Route Scheduling, carry out simultaneous display in GIS map.
In the present embodiment, each watermark protocol information monitoring station includes a control unit and is electrically connected with described control unit
Water level acquisition module, rain collection module, image capture module, communication module and warning module, by water level acquisition module and
Rain collection module gathers the water level information and rainfall change information of grid respectively, obtains the water in correspondence grid and rises information;
By image capture module realize real-time monitoring correspondence grid in image information, by image information by communication module transmit to
Flood control command studies and judges the data center of system.
In the present embodiment, described control unit is single-chip microcomputer, and the rain collection module is tipping bucket rain gauge,
The communication module is GPRS communication module, and the warning module is audible-visual annunciator.
Further, the flood control command study and judge system data center it is every by the GPRS communication module auto-associating
Watermark protocol information monitoring station in individual grid.
The specific implementation process of the present embodiment:
As shown in Fig. 2 carrying out mesh generation with Xu Qu, then local existing Xu Qu is carried out into mesh generation, obtain one with
On grid, W-1 be the first Ge Xu areas grid, W-2 be the second Ge Xu areas grid, W-3 be the 3rd Ge Xu areas grid;
In units of grid, system can be with the real-time monitoring information of each country fair area grid of auto-associating(I.e. current watermark protocol number
According to), it can be seen that all hydrologic monitoring points and Monitoring Data in the range of the country fair area;Auto-associating prediction information(That is future
Precipitation predicting data), it is meteorological if being accessed without if if rainfall and Flood Forecasting Model then access forecasting model forecast data
Rainfall forecast data and Hydrology department experimental forecast data;Auto-associating history is with reference to data(That is history watermark protocol data), root
Rainfall line and stage hydrograph when factually, can be with history stage hydrograph and rainfall in history watermark protocol database
Line carries out curve similarity analysis, the storm flood thing of system automatic decision history most like with this hydrologic process in history
Part, and recall the related real-time monitoring information of Rainstorms institute, history schedule information, disaster-stricken information, redundant labor transfer letter
Breath;Relief materials, emergency team 5, grid person liable, transferring route can be based on ground with auto-associating basic unit flood control system information
Figure carries out visual presentation;Can also be while auto-associating socioeconomic data, be able to know that the population in the range of the country fair area
Amount, age composition, industrial and mining enterprises' situation etc..
In sum, a kind of flood control method for early warning based on mesh generation that the present invention is provided, in units of grid so that
Flood control more has specific aim, and easier visualization, aids in user during hazard weather to carry out early warning, commander and decision-making.
The object, technical solutions and advantages of the present invention are further described by above-listed preferred embodiment, are answered
Understand, the foregoing is only presently preferred embodiments of the present invention, be not intended to limit the invention, it is all in essence of the invention
Within god and principle, any modification, equivalent substitution and improvements made etc. should be included within the scope of the present invention.
Claims (8)
1. a kind of flood control command based on grid studies and judges system, it is characterised in that comprise the following steps:
Step S1:Mesh generation is carried out to area under one's jurisdiction, more than one grid is formed, in units of grid, divided in each grid
More than one watermark protocol information monitoring station is not set, for current watermark protocol data in Real-time Collection correspondence grid;Each net
Watermark protocol information monitoring station in lattice is studied and judged the data center of system by current watermark protocol real-time data transmission to flood control command;
Step S2:In units of grid, system is studied and judged by the current hydrographic data of each grid and corresponding net by flood control command
The history watermark protocol data of lattice are associated, and by the history watermark protocol data in each grid and corresponding history watermark protocol number
History watermark protocol database is set up respectively according to associated history scheduling data, the disaster-stricken data of history and history transferring route, gone through
The disaster-stricken database of history dispatching database, history and history transferring route database;
Step S3:In units of grid, studying and judging system by flood control command carries out similarity analysis, obtains and works as with corresponding grid
Preceding watermark protocol data similarity highest history watermark protocol data, while obtain history corresponding with the history watermark protocol data adjusting
The disaster-stricken data of degrees of data, history and history transferring route;
Step S4:In units of grid, flood control command studies and judges the watermark protocol number that the data center of system will gather in correspondence grid
According to input is predicted analysis to hydrologic forecast model, obtains the following precipitation predicting data in each grid;
Step S5:In units of grid, the socioeconomic data and basic unit's flood control system data in each grid are obtained;
Step S6:In units of grid, system is studied and judged by the current watermark protocol data in each grid by flood control command and is worked as
The corresponding similar highest history watermark protocol data of preceding watermark protocol data, following precipitation predicting data, socioeconomic data and
Basic unit's flood control system data carry out visual presentation in GIS map respectively.
2. a kind of flood control command based on grid according to claim 1 studies and judges system, it is characterised in that in step S1
In, the mesh generation is divided with reservoir and reservoir catchments enclosing region, small watershed or Xu Qu respectively;If with reservoir and
Reservoir catchments enclosing region carries out mesh generation, then all reservoirs in the devastated for selecting, centered on each reservoir,
It is a cell with reservoir and reservoir catchments enclosing region, forms more than one grid, and each grid is entered successively
Line number word is numbered;
If carrying out mesh generation with small watershed, according to SL 653-2013《Small watershed is divided and coding criterion》Carry out small watershed
Division, form more than one grid, and each grid is numbered successively;
Ruo Yixu areas carry out mesh generation, then local existing Xu Qu is carried out into mesh generation, are divided into more than one net
Lattice, and each grid is numbered successively.
3. a kind of flood control command based on grid according to claim 1 studies and judges system, it is characterised in that in step S5
In, described socioeconomic data includes the size of population and distribution, population structure and operating mode number of the enterprise distributed intelligence;It is described
Basic unit flood control system data include person liable, person liable's contact method, flood fighting materials, keep away calamity place, transferring route, emergency team 5
Information.
4. a kind of flood control command based on grid according to claim 1 studies and judges system, it is characterised in that in step S6
In, history scheduling data, the history being associated with the similar highest history watermark protocol data is presented simultaneously in GIS map
Disaster-stricken data and history transferring route.
5. a kind of flood control command based on grid according to claim 1 studies and judges system, it is characterised in that in step S3
In, flood control command studies and judges system, and the current watermark protocol data of each grid are related to the history watermark protocol database of correspondence grid
Connection, the calculating and analysis of similarity are carried out by two factors of the absolute value to watermark protocol and rate of change, are obtained and corresponding grid
Interior current watermark protocol data similarity highest history watermark protocol data.
6. a kind of flood control command based on grid according to claim 1 studies and judges system, it is characterised in that each watermark protocol
Information monitoring station includes a control unit and the water level acquisition module, rain collection module, the image that are electrically connected with described control unit
Acquisition module, communication module and warning module, the water level of grid is gathered by water level acquisition module and rain collection module respectively
Information and rainfall change information, the water obtained in correspondence grid rise information;Real-time monitoring pair is realized by image capture module
The image information in grid is answered, image information is transmitted to flood control command the data center of system of studying and judging by communication module.
7. a kind of flood control method for early warning based on mesh generation according to claim 6, it is characterised in that the control list
Unit is single-chip microcomputer, and the rain collection module is tipping bucket rain gauge, and the communication module is GPRS communication module, described
Warning module is audible-visual annunciator.
8. a kind of flood control method for early warning based on mesh generation according to claim 7, it is characterised in that the flood control refers to
The data center of the system of studying and judging is waved by the watermark protocol information monitoring station in described each grid of GPRS communication module auto-associating.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611249571.4A CN106844531B (en) | 2016-12-29 | 2016-12-29 | Flood prevention command research and judgment system based on grids |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611249571.4A CN106844531B (en) | 2016-12-29 | 2016-12-29 | Flood prevention command research and judgment system based on grids |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106844531A true CN106844531A (en) | 2017-06-13 |
CN106844531B CN106844531B (en) | 2020-05-05 |
Family
ID=59113966
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201611249571.4A Active CN106844531B (en) | 2016-12-29 | 2016-12-29 | Flood prevention command research and judgment system based on grids |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106844531B (en) |
Cited By (22)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107451716A (en) * | 2017-06-28 | 2017-12-08 | 宁波市水利水电规划设计研究院 | A kind of flood control decision support method, electronic equipment, storage medium and system |
CN107609707A (en) * | 2017-09-20 | 2018-01-19 | 福建四创软件有限公司 | A kind of flood forecasting, disaster prevention decision method and system |
CN107610030A (en) * | 2017-09-22 | 2018-01-19 | 福建四创软件有限公司 | Small watershed dangerous situation based on experience big data analysis of taking precautions against natural calamities aids in analysis method |
CN108169792A (en) * | 2017-12-12 | 2018-06-15 | 武汉墨锦创意科技有限公司 | A kind of earthquake disaster data capture management method and system |
CN108765238A (en) * | 2018-05-25 | 2018-11-06 | 浙江知水信息技术有限公司 | A method of it is calculated by grid model and realizes grid water early warning |
CN109146995A (en) * | 2018-08-13 | 2019-01-04 | 长沙矿冶研究院有限责任公司 | A kind of typhoon distribution drawing drawing method and system |
CN109696218A (en) * | 2018-12-24 | 2019-04-30 | 耿毅 | A kind of regimen reservoir dam remote auto measuring and reporting system |
CN109857830A (en) * | 2019-02-18 | 2019-06-07 | 南昌工程学院 | A kind of big data processing system and big data processing method |
CN111598344A (en) * | 2020-05-19 | 2020-08-28 | 浙江职信通信科技有限公司 | Flood prevention resource allocation method and system based on WEB GIS |
CN111915847A (en) * | 2020-08-13 | 2020-11-10 | 成都万江港利科技股份有限公司 | Refined rainfall forecasting system and early warning method thereof |
CN111985389A (en) * | 2020-08-18 | 2020-11-24 | 中国电建集团成都勘测设计研究院有限公司 | Basin similarity discrimination method based on basin attribute distance |
CN112218263A (en) * | 2019-07-12 | 2021-01-12 | 华为技术有限公司 | Data processing method, device and system |
CN112288189A (en) * | 2020-11-19 | 2021-01-29 | 国网湖南省电力有限公司 | Typhoon landing point prediction method, system and computer storage medium |
CN112396327A (en) * | 2020-11-20 | 2021-02-23 | 城云科技(中国)有限公司 | Block chain-based flood prevention and control station command and scheduling method, system and server |
CN112508315A (en) * | 2019-09-16 | 2021-03-16 | 沈阳智信佰达科技有限公司 | Flood prevention consultation system |
CN113220761A (en) * | 2021-04-30 | 2021-08-06 | 上海川河水利规划设计有限公司 | Water conservancy planning information platform construction method, system, device and storage medium |
CN113469441A (en) * | 2021-07-02 | 2021-10-01 | 浙江树人学院(浙江树人大学) | Flood prevention material demand prediction method based on combined deep learning |
CN114048947A (en) * | 2021-10-09 | 2022-02-15 | 中国电建集团华东勘测设计研究院有限公司 | Emergency support aid decision-making system and application |
CN115879747A (en) * | 2023-02-24 | 2023-03-31 | 南京恒创智云计算科技有限公司 | Digital flood-prevention drought-resisting scheduling method and system |
CN116663916A (en) * | 2023-05-08 | 2023-08-29 | 北京师范大学 | Typhoon loss determination method, device and equipment |
CN117010726A (en) * | 2023-09-29 | 2023-11-07 | 水利部交通运输部国家能源局南京水利科学研究院 | Intelligent early warning method and system for urban flood control |
CN117149935A (en) * | 2023-10-30 | 2023-12-01 | 北京江云智能科技有限公司 | Water network data supervision system and method based on digital twinning |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1936880A (en) * | 2006-10-17 | 2007-03-28 | 国网武汉高压研究院 | Statistical method adopting lattice method to determine thunder and lightning parameters |
CN103996156A (en) * | 2014-06-05 | 2014-08-20 | 重庆誉鸣科技有限公司 | Command system for flood control and drought relief |
CN104298841A (en) * | 2013-07-16 | 2015-01-21 | 杭州贵仁科技有限公司 | Flood forecasting method and system based on historical data |
CN104820887A (en) * | 2015-04-23 | 2015-08-05 | 中国环境监测总站 | Soil environment quality monitoring method |
CN105843942A (en) * | 2016-04-01 | 2016-08-10 | 浙江大学城市学院 | Urban flood prevention decision support system based on big data technique |
CN106096522A (en) * | 2016-06-02 | 2016-11-09 | 苏州大学 | A kind of swarm and jostlement method for early warning based on stress and strain model and device |
-
2016
- 2016-12-29 CN CN201611249571.4A patent/CN106844531B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1936880A (en) * | 2006-10-17 | 2007-03-28 | 国网武汉高压研究院 | Statistical method adopting lattice method to determine thunder and lightning parameters |
CN104298841A (en) * | 2013-07-16 | 2015-01-21 | 杭州贵仁科技有限公司 | Flood forecasting method and system based on historical data |
CN103996156A (en) * | 2014-06-05 | 2014-08-20 | 重庆誉鸣科技有限公司 | Command system for flood control and drought relief |
CN104820887A (en) * | 2015-04-23 | 2015-08-05 | 中国环境监测总站 | Soil environment quality monitoring method |
CN105843942A (en) * | 2016-04-01 | 2016-08-10 | 浙江大学城市学院 | Urban flood prevention decision support system based on big data technique |
CN106096522A (en) * | 2016-06-02 | 2016-11-09 | 苏州大学 | A kind of swarm and jostlement method for early warning based on stress and strain model and device |
Non-Patent Citations (1)
Title |
---|
杨东: ""基于GIS的成都城市暴雨内涝预报预警系统研究开发"", 《中国优秀硕士学位论文全文数据库》 * |
Cited By (33)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107451716A (en) * | 2017-06-28 | 2017-12-08 | 宁波市水利水电规划设计研究院 | A kind of flood control decision support method, electronic equipment, storage medium and system |
CN107609707A (en) * | 2017-09-20 | 2018-01-19 | 福建四创软件有限公司 | A kind of flood forecasting, disaster prevention decision method and system |
CN107610030A (en) * | 2017-09-22 | 2018-01-19 | 福建四创软件有限公司 | Small watershed dangerous situation based on experience big data analysis of taking precautions against natural calamities aids in analysis method |
CN108169792A (en) * | 2017-12-12 | 2018-06-15 | 武汉墨锦创意科技有限公司 | A kind of earthquake disaster data capture management method and system |
CN108169792B (en) * | 2017-12-12 | 2020-06-09 | 武汉墨锦创意科技有限公司 | Earthquake disaster data acquisition management method and system |
CN108765238A (en) * | 2018-05-25 | 2018-11-06 | 浙江知水信息技术有限公司 | A method of it is calculated by grid model and realizes grid water early warning |
CN109146995A (en) * | 2018-08-13 | 2019-01-04 | 长沙矿冶研究院有限责任公司 | A kind of typhoon distribution drawing drawing method and system |
CN109696218A (en) * | 2018-12-24 | 2019-04-30 | 耿毅 | A kind of regimen reservoir dam remote auto measuring and reporting system |
CN109857830A (en) * | 2019-02-18 | 2019-06-07 | 南昌工程学院 | A kind of big data processing system and big data processing method |
CN109857830B (en) * | 2019-02-18 | 2023-06-23 | 南昌工程学院 | Big data processing system and big data processing method |
CN112218263A (en) * | 2019-07-12 | 2021-01-12 | 华为技术有限公司 | Data processing method, device and system |
CN112218263B (en) * | 2019-07-12 | 2022-05-13 | 华为技术有限公司 | Data processing method, device and system |
CN112508315A (en) * | 2019-09-16 | 2021-03-16 | 沈阳智信佰达科技有限公司 | Flood prevention consultation system |
CN111598344A (en) * | 2020-05-19 | 2020-08-28 | 浙江职信通信科技有限公司 | Flood prevention resource allocation method and system based on WEB GIS |
CN111915847A (en) * | 2020-08-13 | 2020-11-10 | 成都万江港利科技股份有限公司 | Refined rainfall forecasting system and early warning method thereof |
CN111985389B (en) * | 2020-08-18 | 2023-05-16 | 中国电建集团成都勘测设计研究院有限公司 | Basin similarity discrimination method based on basin attribute distance |
CN111985389A (en) * | 2020-08-18 | 2020-11-24 | 中国电建集团成都勘测设计研究院有限公司 | Basin similarity discrimination method based on basin attribute distance |
CN112288189A (en) * | 2020-11-19 | 2021-01-29 | 国网湖南省电力有限公司 | Typhoon landing point prediction method, system and computer storage medium |
CN112288189B (en) * | 2020-11-19 | 2023-06-30 | 国网湖南省电力有限公司 | Typhoon login point prediction method, typhoon login point prediction system and computer storage medium |
CN112396327A (en) * | 2020-11-20 | 2021-02-23 | 城云科技(中国)有限公司 | Block chain-based flood prevention and control station command and scheduling method, system and server |
CN112396327B (en) * | 2020-11-20 | 2023-09-19 | 城云科技(中国)有限公司 | Block chain-based flood prevention and station prevention command and dispatch method, system and server |
CN113220761A (en) * | 2021-04-30 | 2021-08-06 | 上海川河水利规划设计有限公司 | Water conservancy planning information platform construction method, system, device and storage medium |
CN113220761B (en) * | 2021-04-30 | 2024-02-06 | 上海川河水利规划设计有限公司 | Water conservancy planning information platform construction method, system, device and storage medium |
CN113469441A (en) * | 2021-07-02 | 2021-10-01 | 浙江树人学院(浙江树人大学) | Flood prevention material demand prediction method based on combined deep learning |
CN113469441B (en) * | 2021-07-02 | 2023-12-08 | 浙江树人学院(浙江树人大学) | Flood prevention material demand prediction method based on combined deep learning |
CN114048947A (en) * | 2021-10-09 | 2022-02-15 | 中国电建集团华东勘测设计研究院有限公司 | Emergency support aid decision-making system and application |
CN115879747A (en) * | 2023-02-24 | 2023-03-31 | 南京恒创智云计算科技有限公司 | Digital flood-prevention drought-resisting scheduling method and system |
CN116663916A (en) * | 2023-05-08 | 2023-08-29 | 北京师范大学 | Typhoon loss determination method, device and equipment |
CN116663916B (en) * | 2023-05-08 | 2024-10-15 | 北京师范大学 | Typhoon loss determination method, device and equipment |
CN117010726A (en) * | 2023-09-29 | 2023-11-07 | 水利部交通运输部国家能源局南京水利科学研究院 | Intelligent early warning method and system for urban flood control |
CN117010726B (en) * | 2023-09-29 | 2023-12-08 | 水利部交通运输部国家能源局南京水利科学研究院 | Intelligent early warning method and system for urban flood control |
CN117149935A (en) * | 2023-10-30 | 2023-12-01 | 北京江云智能科技有限公司 | Water network data supervision system and method based on digital twinning |
CN117149935B (en) * | 2023-10-30 | 2024-01-19 | 北京江云智能科技有限公司 | Water network data supervision system and method based on digital twinning |
Also Published As
Publication number | Publication date |
---|---|
CN106844531B (en) | 2020-05-05 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106844531A (en) | A kind of flood control command based on grid studies and judges system | |
Coles et al. | Beyond ‘flood hotspots’: Modelling emergency service accessibility during flooding in York, UK | |
JP4511560B2 (en) | Method and system for automated location-dependent recognition of flood risk | |
CN106373070B (en) | A kind of four pre- methods for coping with urban rainstorm waterlogging | |
CN110633865A (en) | Urban ponding prediction and safety early warning system based on drainage model | |
CN113434565A (en) | Water conservancy flood control drought and waterlogging prevention comprehensive disaster reduction platform system based on CIM platform | |
CN108320462A (en) | Urban Flood control early-warning and predicting system | |
CN112712674A (en) | Urban waterlogging early warning method based on informatization technology | |
CN106530626A (en) | Mountain flood disaster monitoring and early warning system and monitoring method | |
Mitsova et al. | Using enhanced dasymetric mapping techniques to improve the spatial accuracy of sea level rise vulnerability assessments | |
KR20080023098A (en) | Disaster state analysis system and method thereof using geographic information system | |
CN104318085A (en) | Torrential flood risk identification and extraction method of drainage basins | |
Ngailo et al. | Modelling of extreme maximum rainfall using extreme value theory for Tanzania | |
Parrot et al. | Urban GIS applications | |
Péroche et al. | An accessibility graph-based model to optimize tsunami evacuation sites and routes in Martinique, France | |
CN110096557A (en) | Urban area safe condition prediction technique and system | |
CN117079418A (en) | Urban waterlogging disaster forecasting, early warning and emergency rescue system and method thereof | |
Guo et al. | Finer-scale urban health risk assessment based on the interaction perspective of thermal radiation, human, activity, and space | |
Bola et al. | Multi‐return periods, flood hazards, and risk assessment in the Congo River Basin | |
Alberico et al. | Mapping the vulnerability for evacuation of the Campi Flegrei territorial system in case of a volcanic unrest | |
CN117314051A (en) | Visual flood prevention emergency decision system | |
Hsu et al. | A GIS-based decision support system for typhoon emergency response in Taiwan | |
Peck et al. | Physical, Economical, Infrastructural and Social Flood Risk--Vulnerability Analyses in GIS | |
Mioc et al. | On-line street network analysis for flood evacuation planning | |
Pregnolato | Risk analysis of the disruption to urban transport networks from pluvial flooding |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
CB02 | Change of applicant information |
Address after: 350001 unit 6, 4 building, 245 Xiu Shan Road, Xin Dian Town, Jinan District, Fuzhou, Fujian, 608 Applicant after: Four creation technology limited company Address before: 350100 Fuzhou, Minhou, Fujian province Minhou Town, Fuzhou science and Technology Road East Fuzhou hi tech Zone "Haixi high tech Industrial Park" business building 9, 10 Applicant before: Fujian Strong Software Co., Ltd. |
|
CB02 | Change of applicant information | ||
GR01 | Patent grant | ||
GR01 | Patent grant |